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About the Role

As a Consultant Growth Scientist, you will lead the development of Marketing Mix Models that uncover the true drivers of retail sales performance and provide clear recommendations that influence investment decisions. This is an opportunity to combine technical expertise with critical thinking, working closely with stakeholders to translate complex analysis into meaningful business outcomes.

Responsibilities

• Design and deliver Marketing Mix Models that measure and forecast the impact of media, pricing, promotions, and external market factors on retail sales performance.
• Own the preparation, transformation, and quality assurance of large retail and marketing datasets to create reliable modelling foundations.
• Develop and refine model variables, applying econometric principles and commercial understanding to build robust and credible models.
• Validate model outputs through analytical testing, business context reviews, and structured sense-checking of results.
• Document modelling approaches, assumptions, and decisions to ensure transparency, consistency, and reproducibility.
• Present insights and recommendations to colleagues and clients, clearly explaining methodology, findings, and business implications.
• Partner with cross-functional teams to continuously improve modelling approaches, data quality, and analytical effectiveness.

Requirements

• Experience developing Marketing Mix Models or econometric models within a commercial environment, ideally supporting retail or consumer-focused businesses.
• Strong Python capabilities for data analysis, modelling, and visualisation, with experience working with large and complex datasets.
• Solid understanding of econometric methods, including regression analysis, model diagnostics, variable selection, and multicollinearity management.
• Ability to evaluate analytical findings critically and apply sound judgement when interpreting model outputs.
• Experience integrating multiple data sources, including promotional, seasonal, competitive, economic, or environmental factors.
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• A collaborative, curious, and evidence-based approach to problem-solving, with a commitment to transparency and continuous improvement.

Skills

• Python
• Data Analysis
• Modelling
• Visualisation
• Econometric Methods
• Regression Analysis
• Model Diagnostics
• Variable Selection
• Multicollinearity Management
• Data Integration
• Communication

Location

• UK

Work Type

• Office-based (4 days per week)

Benefits

• Pension
• Life Assurance
• Private Medical cover
• Reflection Days
• Shared Parental Leave

About the Company

• Publicis Connected Media UK is a fully end-to-end offering that unites media, commerce, CXM, social and data to deliver connected consumer experiences and drive exceptional business outcomes for our clients.
• Powered by Publicis Connected Identity, the UK’s richest people-based data set built on real behaviours, it helps major brands move beyond siloed marketing and make more confident decisions in fast-changing conditions.
• Those insights truly differentiate our AI and agentic solutions to predict impact, create messaging and reach the right people.
• The more than 3500-strong team spans Starcom, Zenith, Spark Foundry, Digitas, Performics, PMX, Epsilon, Lotame, Publicis Commerce and Influential.
• Publicis Connected Media is part of Publicis Groupe.

Equal Opportunity

• Publicis Media is proud to be an equal opportunities employer.
• We welcome and encourage applications from people of all backgrounds, and do not discriminate on the basis of race, ethnicity, nationality, religion or belief, disability, age, citizenship, relationship status, sexual orientation, gender identity, or any other protected characteristic.
• We are committed to providing a fair, accessible, and inclusive recruitment process.
• If you have any access needs - for example, related to disability, neurodivergence, or a health condition - please let us know. We’ll work with you to ensure the process works for you.
• Sharing this information will never impact your application.
• Guided by our values, we listen with empathy, uplift each other, take responsibility, and embrace change - building a culture where everyone feels seen, respected, and genuinely included.